搜索了很多用python-docx库来实现如何获取自动编号的，但是发现没有实现想要的效果。

下面是 基于pywin32库，来实现我想要的将word文档的内容（包含文本和表格）来按顺序提取出来，但是有个点就是处理表格会重复，然后就需要记录重复的，这样添加了很多工作量，导致速度也下降。

不知道大佬们有没有好办法实现这个效果且速度也冲上啊！！！！！！

import win32com.client as win32

def extract_table_data(table):
    rows_content = {}
    for cell in table.Range.Cells:
        row_idx = cell.RowIndex
        cell_text = cell.Range.Text.strip().replace('\r', '').replace('\x07', '')
        if row_idx not in rows_content:
            rows_content[row_idx] = []
        rows_content[row_idx].append(cell_text)

    # Join each row's cell contents into a single string
    data = [' '.join(rows_content[row]) for row in sorted(rows_content.keys())]
    if data:
        return data
def extract_content_from_doc(doc_path):
    processed_ranges = []
    content = []

    doc_app = win32.gencache.EnsureDispatch('Word.Application')
    doc_app.Visible = 0
    doc = doc_app.Documents.Open(doc_path, ReadOnly=True)

    paragraphs = doc.Paragraphs
    for paragraph in paragraphs:
        if paragraph.Range.Tables.Count == 0:
            paragraph_number = paragraph.Range.ListFormat.ListString
            paragraph_text = paragraph.Range.Text.strip()
            if paragraph_number:
                content.append(f'{paragraph_number} {paragraph_text}')
            else:
                content.append(paragraph_text)
        else:
            for table in paragraph.Range.Tables:
                table_range = table.Range
                table_start = table_range.Start
                table_end = table_range.End
                already_processed = any(
                    (start <= table_start < end) or (start < table_end <= end)
                    for (start, end) in processed_ranges
                )
                if already_processed:
                    continue
                processed_ranges.append((table_start, table_end))
                content.extend(extract_table_data(table))

    doc.Close(False)
    doc_app.Quit()

    return content


if __name__ == '__main__':
    path = r'your_path.docx'
    extracted_content = extract_content_from_doc(path)

    for item in extracted_content:
        print(item)